Explainable Artificial Intelligence [electronic resource] : First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part II /

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Material type: Text

TextSeries: Communications in Computer and Information Science ; 1902Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XVIII, 664 p. 193 illus., 176 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783031440670

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

Contents:

Surveys, benchmarks, visual representations and applications for xAI -- xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks -- Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems.

In: Springer Nature eBookSummary: Chapters “Finding Spurious Correlations with Function-Semantic Contrast Analysis” and “Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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Chapters “Finding Spurious Correlations with Function-Semantic Contrast Analysis” and “Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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